It is recognised that Indigenous communities are likely to be impacted by Offshore Renewable Energy (ORE) wind farm developments. This work conducted a desktop study to identify Traditional Owner interests in areas adjacent to current ORE development areas. The purpose of the work was to gauge the extent of existing knowledge on cultural values and list appropriate avenues for future engagement with Traditional Owners to better understand the potential impact of ORE developments. This included identifying existing Sea Country plans for these communities, identifying existing information on cultural values, investigating Indigenous Cultural Intellectual Property, and further notes on preferred methods of engagement for these Indigenous communities potentially impacted by ORE developments. This raw spreadsheet of compiled information is withheld due to cultural sensitivities, but a synthesis of information is available in the Project 3.3 final report: see sections 4.8, 5.8, 6.8, 7.8 & 8.8 (https://www.nespmarinecoastal.edu.au/publication/guiding-research-and-best-practice-standards-for-the-sustainable-development-of-offshore-renewables-and-other-emerging-marine-industries-in-australia). Please contact the NESP Data Wrangler (Southern node) to discuss access to the raw spreadsheet of information: Emma.Flukes@utas.edu.au

The Australian Coastal Restoration Network (ACRN) database collates information about coastal restoration projects in eight different ecosystems across Australia and New Zealand: shellfish, macroalgae, seagrass, mangrove, saltmarsh, coastal wetland and coral environments. This record represents a static snapshot of the database made in March 2020. The ACRN website (https://www.acrn.org.au) may contain more recent updates to the database.

This record provides an overview of the NESP Marine and Coastal Hub project "Evaluation of recreational fishing behaviour, use, values and motivations that relate to compliance". No data outputs were generated by this project. -------------------- Recreational fishing is an important leisure activity in Australia that delivers important social and economic benefits to the community. As the largest and most widely dispersed natural resource-based recreational activity in the country, it is subject to management strategies including bag limits, quotas, and no-take zones. Given the prohibitive cost of deploying compliance officers to monitor Australia’s vast marine estate, strategies are needed to encourage voluntary compliance from fishers. This project explored behavioural interventions to promote self-compliance among recreational fishers, focusing on no-take zones within the Great Barrier Reef Marine Park and two Commonwealth parks off Western Australia (Geographe and Two Rocks). The research distributed more than 800 online surveys, followed up by focus groups and analysis to examine how demographics, motivations and fishing patterns influence fishers' intentions to comply with zoning rules. Survey insights were used to pilot a new targeted approach to awareness campaigns. Using behavioural segmentation, the project tailored messaging to specific audience types and tested these via GBRMPA social media channels. The project also examined perceptions of compliance visibility and found fishers were more likely to comply when uniformed officers were present and engaged directly at ramps or on water. The project outcomes provide a foundation for evidence-based behavioural interventions and targeted communication campaigns. It delivers a proof of concept for scalable, audience-specific behaviour change approaches that can be refined, implemented, and evaluated in future research. Outputs • Fact sheet - characterising recreational fishing population [written] • Final project report [written]

The data represents the results of a national model of boat-based recreational fishing effort (number of trips) around Australia. The model reflects boat-based line fishing trips in marine waters and is reported on a 5x5 nautical mile grid to a distance of 100 km from the Australian coastline. The model includes two parts: (i) allocation of fishing trips from a reporting region to individual boat ramps and (ii) allocation of fishing trips from boat ramps to adjacent marine waters. Raw fishing effort data could not be made available. Aggregated effort data is supplied as summary plots in the final report: https://www.nespmarine.edu.au/document/social-and-economic-benchmarks-australian-marine-parks